Cost and Benefit Analysis of Solar-Powered Electric Motorbike Charging Station─A Case Study on CPC Gas Station

• Main Authors: Yung-Ching Chang, 張詠晴
• Other Authors: 廖述誼
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi/login?o=dnclcdr&s=id=%22107NCHU5412022%22.&searchmode=basic

碩士 === 國立中興大學 === 應用經濟學系所 === 107 === As the issues of global warming and the depletion of fossil fuels become more and more important, many countries have started to actively adopt energy-saving measures and establish carbon emission reduction targets and mitigation policies. The global trend of energy-saving promotion and carbon emission reduction not only drives the development of electric vehicles, but also creates the demand for the infrastructure of charging stations. In line with the global development trend, a widespread and reliable infrastructure is the key to the successful development of electric vehicles. Therefore, planning for the installation of electric vehicle charging stations and conducting cost amd benefit analysis is a very important issue. In view of the above purposes, and according to the chronological order, this study divides the supply and demand of electric motorbike charging stations into three stages for analysis. The setup costs and relevant information for two different types of power generation and storage system are based on two CPC green energy transformion pioneer stations at Xinyi Road in Chiayi and Qianfeng Road in Tainan, respectively. The above data were applied to 52 CPC Gas Stations in Taichung. In this study, participant test (PCT) and social cost test (SCT) are used to assess whether the transformation of CPC Smart Green Gas Station has economic feasibility or not. Based on the results of cost-benefit analysis, three main findings can be summarized as follows: 1) None of the three simulation scenarios can pass PCT. And the net present value for each scenario shows a decreasing trend in the long run. The main reason is because the initial setup cost of the smart green energy gas station is too high; 2) None of the three simulation scenarios can pass SCT, however, the net present value for each scenario shows a increasing trend in the long run. The main reason is because the social benefit of carbon emission reduction is included in SCT. This implies that the establishment of the Smart Green Gas Station will be beneficial to CPC itself and the whole society as well in the long run. As a result, the difference between PCT and SCT can be regarded as the contribution of CPC to fulfill its corporate social responsibility; 3) The results of the sensitivity analysis indicate that changes in setup cost, revenue from the provision of electric motorbike charging and replacement services, carbon price, and discounting rate have relatively higher effects on the benefit-cost ratio for each scenario. Other parameters including unit power generation efficiency, operation and maintenance cost, and wholesale rate have insignificant effects on the benefit-cost ratio for each scenario.